Track food calories via Telegram with GPT-4 Vision and Google Sheets

This workflow enables users to submit food images to a Telegram bot, which uses OpenAI’s GPT-4 Vision to identify the item and estimate its caloric value. The results are stored in Google Sheets and sent back to the user.

What it does:

1. Triggers on a photo sent via Telegram.
2. Acknowledges the user with a sticky note message.
3. Downloads the image file securely using Telegram's API.
4. Sends the image to GPT-4 Vision with a prompt: “Describe this food and estimate its calories.”
5. Logs the GPT response to a Google Sheet (with timestamp).
6. Replies to the user with the result (e.g., food name and estimated calories).

Use cases:

• Personal food tracking
• Nutrition logging via chat
• Meal journaling for fitness or health

Requirements:

• Telegram Bot Token (via credentials)
• OpenAI GPT-4 Vision access
• Google Sheets credential with access to the target sheet

Notes:

• You can extend this template to calculate daily totals, categorize meals (breakfast/lunch/dinner), or even integrate with calorie goals.
• The sticky note node confirms receipt to enhance UX.
• Ideal for wellness apps, chat-based food journals, or AI-powered health bots.